[EAN: 9783639000320], Neubuch, [PU: VDM Verlag], YUH-HUU CHANG, NELSON WU,TECHNOLOGY,ELECTRICAL AND ELECTRONIC ENGINE, Paperback. 68 pages. Dimensions: 8.7in. x 5.9in. x 0.2in.The research of signal parameter estimation using antenna array have been extensively attended for decades. In array processing, the estimation of DOA( Direction of Arrival ) or the determination of number of signals plays an important role in many applications such as in sonar, radar, and seismic measurement. However, the concept of most known algorithms is assuming the signals are uncorrelated. In practice, the transmitting signals are usually reflected or refracted by mountains, buildings or other impediments. It will cause multi-path propagation as highly correlated or coherent signals are received on the sensor. Therefore, rank deficiency of signal covariance matrix will be raised. It will cause the usual eigenvalue-detecting method going failed. In this book, we propose a new method for the rank deficient issue. For avoiding the confusion caused by the unknown length of subarray, we use some operations of the eigenvector matrix to form a new matrix. Besides, we can find out the number of signals by counting the non-zero eigenvalues of the covariance matrix of this new matrix. Furthermore, we also can categorize the coherent signals into different groups for their coherence. This item ships from multiple locations. Your book may arrive from Roseburg,OR, La Vergne,TN.

[EAN: 9783639000320], Neubuch, [PU: VDM Verlag, Germany], Technology|General, Language: English Brand New Book ***** Print on Demand *****.The research of signal parameter estimation using antenna array have been extensively attended for decades. In array processing, the estimation of DOA( Direction of Arrival ) or the determination of number of signals plays an important role in many applications such as in sonar, radar, and seismic measurement. However, the concept of most known algorithms is assuming the signals are uncorrelated. In practice, the transmitting signals are usually reflected or refracted by mountains, buildings or other impediments. It will cause multi-path propagation as highly correlated or coherent signals are received on the sensor.Therefore, rank deficiency of signal covariance matrix will be raised.It will cause the usual eigenvalue-detecting method going failed. In this book, we propose a new method for the rank deficient issue. For avoiding the confusion caused by the unknown length of subarray, we use some operations of the eigenvector matrix to form a new matrix. Besides, we can find out the number of signals by counting the non-zero eigenvalues of the covariance matrix of this new matrix. Furthermore, we also can categorize the coherent signals into different groups for their coherence.

[EAN: 9783639000320], Neubuch, [PU: Vdm Verlag Mai 2008], This item is printed on demand - Print on Demand Titel. - The research of signal parameter estimation using antennaarray have been extensively attended for decades. In arrayprocessing, the estimation of DOA( Direction of Arrival ) or thedetermination of number of signals plays an important role in manyapplications such as in sonar, radar, and seismic measurement.However, the concept of most known algorithms is assuming thesignals are uncorrelated. In practice, the transmitting signals areusually reflected or refracted by mountains, buildings or otherimpediments. It will cause multi-path propagation as highlycorrelated or coherent signals are received on thesensor.Therefore, rank deficiency of signal covariance matrix willbe raised.It will cause the usual eigenvalue-detecting method goingfailed. In this book, we propose a new method for the rankdeficient issue. For avoiding the confusion caused by the unknownlength of subarray, we use some operations of the eigenvectormatrix to form a new matrix. Besides, we can find out the number ofsignals by counting the non-zero eigenvalues of the covariancematrix of this new matrix. Furthermore, we also can categorize thecoherent signals into different groups for their coherence. 68 pp. Englisch

The research of signal parameter estimation using antennaarray have been extensively attended for decades. In arrayprocessing, the estimation of DOA( Direction of Arrival ) or thedetermination of number of signals plays an important role in manyapplications such as in sonar, radar, and seismic measurement.However, the concept of most known algorithms is assuming thesignals are uncorrelated. In practice, the transmitting signals areusually reflected or refracted by mountains, buildings or otherimpediments. It will cause multi-path propagation as highlycorrelated or coherent signals are received on thesensor.Therefore, rank deficiency of signal covariance matrix willbe raised.It will cause the usual eigenvalue-detecting method goingfailed. In this book, we propose a new method for the rankdeficient issue. For avoiding the confusion caused by the unknownlength of subarray, we use some operations of the eigenvectormatrix to form a new matrix. Besides, we can find out the number ofsignals by counting the non-zero eigenvalues of the covariancematrix of this new matrix. Furthermore, we also can categorize thecoherent signals into different groups for their coherence. Bücher / Naturwissenschaften, Medizin, Informatik & Technik / Technik, [PU: VDM Verlag Dr. Müller, Saarbrücken]

Nelson Wu:Number & DOA of Coherent Signals Determination by Eigenvector Matrix Operation - A New Method for Estimating the Direction-Of-Arrival and Determining the Numbers of Coherent Impinging Signals

The research of signal parameter estimation using antenna array have been extensively attended for decades. In array processing, the estimation of DOA( Direction of Arrival ) or the determination of number of signals plays an important role in many applications such as in sonar, radar, and seismic measurement.
However, the concept of most known algorithms is assuming the signals are uncorrelated. In practice, the transmitting signals are usually reflected or refracted by mountains, buildings or other impediments. It will cause multi-path propagation as highly correlated or coherent signals are received on the sensor.Therefore, rank deficiency of signal covariance matrix will be raised.It will cause the usual eigenvalue-detecting method going failed.
In this book, we propose a new method for the rank deficient issue. For avoiding the confusion caused by the unknown length of subarray, we use some operations of the eigenvector matrix to form a new matrix. Besides, we can find out the number of signals by counting the non-zero eigenvalues of the covariance matrix of this new matrix. Furthermore, we also can categorize the coherent signals into different groups for their coherence.